Where Will the Future Trend of Artificial Intelligence Go

Experts believe that the intelligent flow in the future will surround us peacefully like the current of today, completely changing the state of human politics, economy, society and life.

Learn about Artificial Intelligence

Artificial intelligence is a new technology science to research and develop the theory, method, technology and application system for simulating, extending and expanding human intelligence.

Artificial Intelligence Introduction

Artificial intelligence is a new technology science that researches and develops theories, methods, technologies and application systems for simulating, extending and extending human intelligence.

What Is Decision Tree

Decision tree classification algorithm is a case-based inductive learning method. It can extract the tree type classification model from the given disordered training samples.

Introduction of Decision Tree

Decision tree is a tree, in which each branch node represents the choice between multiple alternatives, and each leaf node represents a decision.

Logistic Regression Model

Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable.

Understanding of Bayes Formula

Bayes believes that since our number of experiments will never be infinite, we should not give a definite value.

Python: Machine Learning

Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.

What Is Machine Learning

Machine learning is software that learns from examples. Instead of writing machine learning algorithms, you train them by providing a lot of relevant data.

The Differences between Machine Learning and Deep Learning

Deep learning is a kind of machine learning. Machine learning is a method to realize artificial intelligence.

How to Deeply Understand the Concept of Machine Learning

This article is mainly for non professional readers. It introduces the concept, connotation and related problems of machine learning.

Application of Machine Learning

Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across.

Introduction of Machine Learning

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data​.

What is Machine Learning

The core of machine learning is "using algorithms to analyze data, learn from it, and then make decisions or predictions on new data".

Just 10 Minutes: Start Your Machine Learning Path

Python, a rising star in the field of machine learning technology, is often the first choice to take you to success. Therefore, it is necessary to use Python as a guide for machine learning.

Why Should Terraform Become One of DevOps Tools?

Terraform is one of the tools you should use in the DevOps tool chain. This blog post describes the basic reason to consider Terraform as one of DevOps tools.

Application of Seaborn

Matplotlib is Python's main drawing library. To control the appearance of Matplotlib charts, Seaborn module comes with many custom themes and advanced interfaces.

Python Visualization Library - Matplotlib And Seaborn

Seaborn is a library for making statistical graphics in Python. It is built on top of matplotlib and closely integrated with pandas data structures.

Matplotlib And Seaborn Visualization

Matplotlib and Seaborn are two common drawing libraries in Python, which can be directly installed by PIP.

Matplotlib and Seaborn Drawing Foundation

Seaborn is a library that uses Matplotlib underneath to plot graphs. It will be used to visualize random distributions.

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